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Applied statistics and probability for engineers

By: Montgomery, Douglas C
Title By: Runger, George C
Material type: BookPublisher: Hoboken, NJ : John Wiley and Sons, Inc., c2014.Edition: 6th ed.Description: xvi, 765 p. : ill. ; 27 cm.ISBN: 9781118744123; 9781118539712Subject(s): Statistics | Engineering -- Statistical methods | Probabilities | TECHNOLOGY & ENGINEERING / Industrial Engineering | Mathematical statisticsDDC classification: 519.5 MO AP Online resources: Location Map
Summary:
"This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences"--
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Item type Home library Call number Status Notes Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection
519.5 MO AP (Browse shelf) Available June2019 T0062476
Total holds: 0

Includes bibliographical references and index.

The Role of Statistics in Engineering --
Probability --
Discrete Random Variables and Probability Distributions --
Continuous Random Variables and Probability Distributions --
Joint Probability Distributions --
Descriptive Statistics --
Sampling Distributions and Point Estimation of Parameters --
Statistical Intervals for a Single Sample --
Tests of Hypotheses for a Single Sample- Statistical Inference for Two Samples --
Simple Linear Regression and Correlation --
Multiple Linear Regression --
Design and Analysis of Single-Factor Experiments: The Analysis of Variance --
Design of Experiments with Several Factors --
Statistical Quality Control

"This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences"--

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